I and many of my friends have used ChatGPT extremely effectively to diagnose medical issues. In fact, I would say that ChatGPT is better than most doctors because most doctors don't actually listen to you. ChatGPT took the time to ask me questions and based on my answers, narrowed down a particularly scary diagnosis and gave excellent instructions on how to get to a local hospital in a foreign country, what to ask for, and that I didn't have to worry very much because it sounded very typical for what I had. The level of reassurance that I was doing everything right actually made me feel less scared, because it was a pretty serious problem. Everything it told me was 100% correct and it guided me perfectly.
I was taking one high blood pressure medication but then noticed my blood sugar jumped. I did some research with ChatGPT and it found a paper that did indicate that it could raise blood sugar levels and gave me a recommendation for an alternative I asked my doctor about it and she said I was wrong, but I gently pushed her to switch and gave the recommended medication. She obliged, which is why I have kept her for almost 30 years now, and lo and behold, my blood sugar did drop.
Most people have a hard time pushing back against doctors and doctors mostly work with blinders on and don't listen. ChatGPT gives you the ability to keep asking questions without thinking you are bothering them.
I think ChatGPT is a great advance in terms of medical help in my opinion and I recommend it to everyone. Yes, it might make mistakes and I caution everyone to be careful and don't trust it 100%, but I say that about human doctors as well.
> she said she was aware that DeepSeek had given her contradictory advice. She understood that chatbots were trained on data from across the internet, she told me, and did not represent an absolute truth or superhuman authority
With highly lucid people like the author's mom I'm not too worried about Dr. Deepseek. I'm actually incredibly bullish on the fact that AI models are, as the article describes, superhumanly empathetic. They are infinitely patient, infinitely available, and unbelievably knowledgeable, it really is miraculous.
We don't want to throw the baby out with the bathwater, but there are obviously a lot of people who really cannot handle the seductivity of things that agree with them like this.
I do think there is pretty good potential in making good progress on this front in though. Especially given the level of care and effort being put into making chatbots better for medical uses and the sheer number of smart people working on the problem.
Considering how difficult it is to get patients to talk to doctors, using AI can be a great way to get some suggestions and insight _and then present that to your actual doctor_
This was not what I was expecting. The doctors I know are mostly miserable; stuck between the independence but also the burden of running their own practice, or or else working for a giant health system and having no control over their own days. You can see how an LLM might be preferable, especially when managing a chronic, degenerative condition. I have a family member with stage 3 kidney disease who sees a nephrologist, and there's nothing you can actually do. No one in their right mind would recommend a kidney transplant, let alone dialysis for someone with moderately impaired kidneys. All you can do is treat the symptoms as they come up and monitor for significant drops in function.
The problem is not reliance on AI but that the AI is not ready yet and using general-purpose models.
There isn't simply enough doctors to go around and the average one isn't as knowledgeable as you would want. Everything suggests that when it comes to diagnosis ML systems should be better in the long run on average.
Especially with a quickly aging population there is no alternative if we want people to have healthcare on a sensible level.
The dangers are obvious (and also there are some fascinating insights into how healthcare works practically in China). I wonder if some kind of "second opinion" antagonistic approach might reduce the risks.
Medical Advice Generative Adversarial Networks would be a good idea.
I see some of this adversarial second-guessing introspection from Claude sometimes. ("But wait. I just said x y and z, but that's inconsistent with this other thing. Let me rethink that.")
Sometimes when I get the sense that an LLM is too sycophantic, I'll instruct it to steelman the counter l-argument, then assess the persuasiveness of that counter-argument. It helps.
However I would say that the cited studies are somewhat outdated already compared e.g. with GPT-5-Thinking doing 2mins of reasoning/search about a medical question. As far as I know Deepseeks search capabilities are not comparable and non of the models in the study spend a comparable amount of compute answering your specific question.
> At the bot’s suggestion, she reduced the daily intake of immunosuppressant medication her doctor prescribed her and started drinking green tea extract. She was enthusiastic about the chatbot
I don't know enough about medicine to say whether or not this is correct, but it sounds suspect. I wouldn't be surprised if chatbots, in an effort to make people happy, start recommending more and more nonsense natural remedies as time goes on. AI is great for injuries and illnesses, but I wonder if this is just the answer she wants, and not the best answer.
This almost certainly isn't only a China problem. I've observed UK users asking questions about diabetes and other health advice. We also have an inexpensive (free-at-point of use for most stuff) but stretched healthcare system. Doubtless there are US users looking at the cost of their healthcare and resorting to ChatGPT instead too.
In companies people talk about Shadow-IT happening when IT doesn't cover the user needs. We should probably label this stuff Shadow-Health.
To some extent, the deployment of a publicly funded AI health chat bot, where the responses can be analysed by healthcare professionals to at least prevent future harm is probably significantly less bad than telling people not to ask AI questions and consult the existing stretched infrastructure. Because people will ask the questions regardless.
The joke of looking symptoms up on WebMD and determining you have cancer has been around for... geez over 20 years now. Anti-vaccine sentiment mostly derived from Facebook. Google any symptom today and there are about 10 million Quora-esque websites of "doctors" answering questions. I'm not sure that funneling all of this into the singular UI of an AI interface is really better or worse or even all that different.
But I do agree that some focused and well funded public health bot would be ideal, although we'll need the WHO to do it, it's certainly not coming from the US any time soon.
Access trumps everything else. A doctor is fine with you dying while you wait on his backlog. The machine will give you some wrong answers. The mother in the story seems to be balancing the concerns. She has become the agent of her own life empowered by a supernatural machine.
> She understood that chatbots were trained on data from across the internet, she told me, and did not represent an absolute truth or superhuman authority. She had stopped eating the lotus seed starch it had recommended.
The “there’s wrong stuff there” fear has existed for the Internet, Google, StackOverflow. Each time people adapted. They will adapt again. Human beings have remarkable ability to use tools.
A sick family member told me something along the lines of, "I know how to work with AI to get the answer." I interpret that to mean he asks it questions until it tells him what he wants to hear.
I think the article can basically be summed up as "GenAI sychophancy should have a health warning similar to social media". It's a helluva drug to be constantly rewarded and flattered by an algorithm.
I and many of my friends have used ChatGPT extremely effectively to diagnose medical issues. In fact, I would say that ChatGPT is better than most doctors because most doctors don't actually listen to you. ChatGPT took the time to ask me questions and based on my answers, narrowed down a particularly scary diagnosis and gave excellent instructions on how to get to a local hospital in a foreign country, what to ask for, and that I didn't have to worry very much because it sounded very typical for what I had. The level of reassurance that I was doing everything right actually made me feel less scared, because it was a pretty serious problem. Everything it told me was 100% correct and it guided me perfectly.
I was taking one high blood pressure medication but then noticed my blood sugar jumped. I did some research with ChatGPT and it found a paper that did indicate that it could raise blood sugar levels and gave me a recommendation for an alternative I asked my doctor about it and she said I was wrong, but I gently pushed her to switch and gave the recommended medication. She obliged, which is why I have kept her for almost 30 years now, and lo and behold, my blood sugar did drop.
Most people have a hard time pushing back against doctors and doctors mostly work with blinders on and don't listen. ChatGPT gives you the ability to keep asking questions without thinking you are bothering them.
I think ChatGPT is a great advance in terms of medical help in my opinion and I recommend it to everyone. Yes, it might make mistakes and I caution everyone to be careful and don't trust it 100%, but I say that about human doctors as well.
> she said she was aware that DeepSeek had given her contradictory advice. She understood that chatbots were trained on data from across the internet, she told me, and did not represent an absolute truth or superhuman authority
With highly lucid people like the author's mom I'm not too worried about Dr. Deepseek. I'm actually incredibly bullish on the fact that AI models are, as the article describes, superhumanly empathetic. They are infinitely patient, infinitely available, and unbelievably knowledgeable, it really is miraculous.
We don't want to throw the baby out with the bathwater, but there are obviously a lot of people who really cannot handle the seductivity of things that agree with them like this.
I do think there is pretty good potential in making good progress on this front in though. Especially given the level of care and effort being put into making chatbots better for medical uses and the sheer number of smart people working on the problem.
[delayed]
Considering how difficult it is to get patients to talk to doctors, using AI can be a great way to get some suggestions and insight _and then present that to your actual doctor_
Reminds me of an excellent paper I just read by a former Google DeepMind Ethics Research Team member
https://www.mdpi.com/2504-3900/114/1/4 - Reinecke, Madeline G., et al. "The double-edged sword of anthropomorphism in llms." Proceedings. Vol. 114. No. 1. MDPI, 2025 Author: https://www.mgreinecke.com/
This was not what I was expecting. The doctors I know are mostly miserable; stuck between the independence but also the burden of running their own practice, or or else working for a giant health system and having no control over their own days. You can see how an LLM might be preferable, especially when managing a chronic, degenerative condition. I have a family member with stage 3 kidney disease who sees a nephrologist, and there's nothing you can actually do. No one in their right mind would recommend a kidney transplant, let alone dialysis for someone with moderately impaired kidneys. All you can do is treat the symptoms as they come up and monitor for significant drops in function.
The problem is not reliance on AI but that the AI is not ready yet and using general-purpose models.
There isn't simply enough doctors to go around and the average one isn't as knowledgeable as you would want. Everything suggests that when it comes to diagnosis ML systems should be better in the long run on average.
Especially with a quickly aging population there is no alternative if we want people to have healthcare on a sensible level.
The dangers are obvious (and also there are some fascinating insights into how healthcare works practically in China). I wonder if some kind of "second opinion" antagonistic approach might reduce the risks.
Medical Advice Generative Adversarial Networks would be a good idea.
I see some of this adversarial second-guessing introspection from Claude sometimes. ("But wait. I just said x y and z, but that's inconsistent with this other thing. Let me rethink that.")
Sometimes when I get the sense that an LLM is too sycophantic, I'll instruct it to steelman the counter l-argument, then assess the persuasiveness of that counter-argument. It helps.
Worriesome for sure.
However I would say that the cited studies are somewhat outdated already compared e.g. with GPT-5-Thinking doing 2mins of reasoning/search about a medical question. As far as I know Deepseeks search capabilities are not comparable and non of the models in the study spend a comparable amount of compute answering your specific question.
How much nvidia u holding bro
> At the bot’s suggestion, she reduced the daily intake of immunosuppressant medication her doctor prescribed her and started drinking green tea extract. She was enthusiastic about the chatbot
I don't know enough about medicine to say whether or not this is correct, but it sounds suspect. I wouldn't be surprised if chatbots, in an effort to make people happy, start recommending more and more nonsense natural remedies as time goes on. AI is great for injuries and illnesses, but I wonder if this is just the answer she wants, and not the best answer.
This almost certainly isn't only a China problem. I've observed UK users asking questions about diabetes and other health advice. We also have an inexpensive (free-at-point of use for most stuff) but stretched healthcare system. Doubtless there are US users looking at the cost of their healthcare and resorting to ChatGPT instead too.
In companies people talk about Shadow-IT happening when IT doesn't cover the user needs. We should probably label this stuff Shadow-Health.
To some extent, the deployment of a publicly funded AI health chat bot, where the responses can be analysed by healthcare professionals to at least prevent future harm is probably significantly less bad than telling people not to ask AI questions and consult the existing stretched infrastructure. Because people will ask the questions regardless.
The joke of looking symptoms up on WebMD and determining you have cancer has been around for... geez over 20 years now. Anti-vaccine sentiment mostly derived from Facebook. Google any symptom today and there are about 10 million Quora-esque websites of "doctors" answering questions. I'm not sure that funneling all of this into the singular UI of an AI interface is really better or worse or even all that different.
But I do agree that some focused and well funded public health bot would be ideal, although we'll need the WHO to do it, it's certainly not coming from the US any time soon.
Access trumps everything else. A doctor is fine with you dying while you wait on his backlog. The machine will give you some wrong answers. The mother in the story seems to be balancing the concerns. She has become the agent of her own life empowered by a supernatural machine.
> She understood that chatbots were trained on data from across the internet, she told me, and did not represent an absolute truth or superhuman authority. She had stopped eating the lotus seed starch it had recommended.
The “there’s wrong stuff there” fear has existed for the Internet, Google, StackOverflow. Each time people adapted. They will adapt again. Human beings have remarkable ability to use tools.
A sick family member told me something along the lines of, "I know how to work with AI to get the answer." I interpret that to mean he asks it questions until it tells him what he wants to hear.
Indeed, real doctors have the advantage of understanding how to treat humans that are incapacitated. =3
https://www.youtube.com/watch?v=yftBiNu0ZNU
I think the article can basically be summed up as "GenAI sychophancy should have a health warning similar to social media". It's a helluva drug to be constantly rewarded and flattered by an algorithm.